Personalised fading for stream data

Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo, Jeremy Foss

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Citations (SciVal)
    Original languageEnglish
    Title of host publication32nd Annual ACM Symposium on Applied Computing, SAC 2017
    PublisherAssociation for Computing Machinery
    Pages870-872
    Number of pages3
    ISBN (Electronic)9781450344869
    DOIs
    Publication statusPublished (VoR) - 3 Apr 2017
    Event32nd Annual ACM Symposium on Applied Computing, SAC 2017 - Marrakesh, Morocco
    Duration: 4 Apr 20176 Apr 2017

    Publication series

    NameProceedings of the ACM Symposium on Applied Computing
    VolumePart F128005

    Conference

    Conference32nd Annual ACM Symposium on Applied Computing, SAC 2017
    Country/TerritoryMorocco
    CityMarrakesh
    Period4/04/176/04/17

    Funding

    This work was partially financed by the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalisation (COMPETE Programme), within project ?FCOMP-01-0202-FEDER023151? and project ?POCI-01-0145-FEDER-006961?, and by national funds through the Funda??o para a Ci?ncia e Tecnologia (FCT)-Portuguese Foundation for Science and Technology-as part of project UID/EEA/50014/2013.3

    Keywords

    • Fading strategies
    • Forgetting technique
    • Stream mining

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